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    • Object Oriented Programming

    Object Oriented Programming Courses Online

    Explore object-oriented programming (OOP) for building modular and reusable code. Learn OOP concepts and their implementation in various programming languages.

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    Explore the Object Oriented Programming Course Catalog

    • Status: New
      New
      I

      IBM

      Object Oriented Programming in Java

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, Java Programming, File Management, Application Development, Computer Programming, Program Development, Data Structures, Data Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • A

      Amazon

      Programming with Java

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, File Management, Data Import/Export, Maintainability, Debugging, Software Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      562 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Fundamentals of Object-Oriented Programming - C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Unified Modeling Language, Data Structures, Algorithms, File Management, Debugging

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Programming in C

      Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming, Numerical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Web Scraping, Relational Databases, Computer Programming Tools, Automation, Data Analysis Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Development Environment, Version Control, File Management, Jupyter, Software Engineering, Software Development Tools, Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    Object Oriented Programming learners also search

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    In summary, here are 10 of our most popular object oriented programming courses

    • Object Oriented Programming in Java: IBM
    • Data Analysis with R Programming: Google
    • Programming with Java: Amazon
    • R Programming: Johns Hopkins University
    • Introduction to R Programming for Data Science: IBM
    • Fundamentals of Object-Oriented Programming - C++: Packt
    • Programming in C: University of Michigan
    • Data Analysis with R: Duke University
    • Crash Course on Python: Google
    • Data Engineering Foundations: IBM

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Object Oriented Programming

    Object-oriented Programming is a way to classify code based on the concept of objects—in other words, data created for specific functions. The idea is that no other part of the code can access data within a function, benefitting programmers by enabling them to create new objects based on existing ones and making them easier to modify.

    Some examples of Object-oriented Programming languages include Java, C++, and Python, though there are various others. Learning these programming languages is important because they enable learners to design programs capable of managing large amounts of data.‎

    Some of the most-used, in-demand programming languages use Object-oriented Programming. These languages’ prevalence in the job market paired with their advantages—from Python’s readability, to C#’s versatility, to C++’s reliability, to Java’s popularity—make Object-oriented Programming a career-enhancing feature to master.

    Often abbreviated “OOP” in job descriptions, LinkedIn shows that there are roughly 16,400 results in the United States when the acronym is searched in their jobs portal. Some job opportunities that list “OOP” as a requirement include Technical Lead, QA Analyst, Multimedia Designer, Front-end Engineer, Data Engineer, Business Systems Analyst, Web Application Engineer, Business Intelligence Developer, UX Engineer, and others that are related.‎

    Object-oriented Programming courses offered through Coursera equip learners with knowledge in using it to solve complex problems in Java; design programs capable of managing large amounts of data; implement data structures as C++ classes; create modular, flexible, and reusable software; and more.

    Lessons on Object-oriented Programming are taught by instructors from major tech names and universities, including Duke University, University of Illinois, University of California at San Diego, and other institutions. Learners can enjoy exploring Object-oriented Programming with instructors specializing in Computer Science, Data Structures, Software Engineering, and other disciplines. Course content on Object-oriented Programming is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    The skills and experience you might need to already have before starting to learn object-oriented programming (OOP) could include knowing the basics of a variety of programming languages like C, C#, Java, Python, and PHP, for example. Having this background would aid you in learning object-oriented programming, which is used by developers to organize code into larger meaningful objects that model the parts of a problem. It would also help to have experience in understanding objects and classes, working with interfaces, and having the ability to manage single, multiple, and multilevel inheritances, which is the process used by software engineers to create class hierarchies, where classes and objects inherit properties and behaviors from their parent class. This is a common practice in object-oriented programming.‎

    The kind of people who are best suited for work that involves object-oriented programming are data engineers and web developers who have the skills to design, develop, and maintain object-oriented programming. These people have likely had success in using OOP to create an original code library for other OOP programmers to use on future projects. They may have also developed new business software and applications with OOP work, and helped to boost their team productivity by teaching OOP concepts to junior programmers. OOP is an important skill to leverage in a workplace, as it's considered the most popular programming paradigm, and has been a standard entry point for many programmers.‎

    You might know if learning object-oriented programming is right for you if you aspire to move ahead in a coding career. Learning the basics of OOP can put you on a path to becoming a PHP developer, full-stack developer, Android developer, and other software engineering roles. You may already have a technical-focused background, with knowledge of programming languages, and a curious nature that seeks to explore topics in web development work. This experience would help you in understanding OOP. If you understand data structures, know the use for a hash table, and want to learn how to design programs that can handle large amounts of data, then learning object-oriented programming might be a good fit for you moving ahead in your career.‎

    Online Object Oriented Programming (OOP) courses offer a convenient and flexible way to enhance your knowledge or learn new Object Oriented Programming (OOP) skills. Choose from a wide range of Object Oriented Programming (OOP) courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Object Oriented Programming (OOP), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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